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Inventory Management Information System in Blood Transfusion Unit
... Model GAMS dibuat untuk mengatasi ketidakpastian permintaan darah dalam menentukan lokasi pusat penyediaan darah yang tidak rusak akibat terjadinya bencana [3]. Sistem Informasi juga dimodelkan dalam mengelola ketidakseimbangan informasi permintaan dan penyediaan darah [4]. Model dengan metode Epsilon-Constraint dalam mengatasi masalah kompleks berbentuk stokastik berkaitan dengan persediaan dan permintaan darah [5]. ...
Unit Transfusi Darah-Palang Merah Indonesia (UTD-PMI) di Kota Kupang berperan penting dalam menjaga keseimbangan antara permintaan dan persediaan kantong darah di 12 rumah sakit dan 1 klinik di wilayah tersebut. Tantangan utama yang dihadapi adalah ketidakseimbangan antara tingginya permintaan darah dan keterbatasan persediaan di UTD-PMI, yang menjadi fokus penelitian. Untuk mengatasi masalah ini, penelitian menggunakan metode Double Exponential Smoothing (DES) dilakukan untuk memprediksi permintaan dan persediaan darah. Data empat tahun terakhir menjadi dasar prediksi, dengan dua kategori utama. Kategori pertama, difokuskan pada tahun keempat (2022), menggunakan data dari tiga tahun terakhir (2019-2021) dan dua tahun terakhir (2020-2021), dibandingkan dengan data aktual pada tahun tersebut. Kategori kedua, untuk tahun kelima (2023), memanfaatkan empat jenis range data: satu tahun terakhir (2022), dua tahun terakhir (2021-2022), tiga tahun terakhir (2020-2022), dan empat tahun terakhir (2019-2022). Akurasi prediksi dievaluasi dengan parameter Mean Absolute Percentage Error (MAPE). Prediksi dilakukan untuk memahami kemungkinan data selama enam bulan ke depan. Meskipun hasil prediksi bervariasi berdasarkan range data yang digunakan, keseluruhan prediksi tetap masuk dalam kategori Good Forecast. Ini menunjukkan keberhasilan metode DES dalam mengelola ketidakseimbangan antara permintaan dan persediaan darah di UTD-PMI Kota Kupang. Dengan pendekatan ini, diharapkan dapat meningkatkan efisiensi manajemen dan distribusi darah, memberikan dampak positif terhadap pelayanan kesehatan di wilayah tersebut.
... A GAMS model was developed to address the uncertainty of blood demand and determine the location of blood supply centers that remain operational during disasters [3]. Information systems were also modeled to manage the imbalance between blood demand and supply [4]. ...
The balance between blood demand and supply at the Indonesian Red Cross Blood Transfusion Unit (UTD-PMI) is crucial. This condition must be maintained to reduce unused or expired blood supplies. Despite the situation in UTD-PMI, where the blood supply exceeds demand, there is still a shortage of blood when needed by patients. This research aims to model the prediction of blood demand and supply for each blood type using the Back Propagation artificial neural network approach. Data from the last 3 years, from 2020 to 2022, were utilized in this research process. There are three stages in this research process. The first stage involves the training process, using data from January 2020 to December 2021. The testing process utilizes data from January 2021 to December 2022. The prediction process involves displaying the forecasted data for the next 12 months from January to December 2023. The accuracy of the calculations is assessed using the mean square error (MSE). Ultimately, the research results present the prediction model for the four types of blood with respect to the demand and supply. These findings can serve as a reference to regulate future blood donation activities carried out by the UTD-PMI.
... This paper [3] discusses the system implemented through a database which stores the information about the patients and also the donor. This data can be updated to know the bloodstock and add donor membership to obtain information about the donor. ...
Inventory Management System is a centralized data repository that helps in managing the inventory with ease. A centralized data repository of data helps people to get access to the information fast thus increasing productivity. This paper discusses developing a web-based application that will be capable of managing and monitoring networking devices in an IT organization. The application will consist of a centralized data repository of all the networking devices in an organization. A centralized network device inventory helps employees to easily manage and monitor all the networking devices in the organization. The application will also help employees in the fast troubleshooting of any networking issue that arises in the organization thus, increases the productivity of employees. The application will be capable of sending timely updates regarding the warranty period, inventory data updates, etc., to the concerned people.
... If the user wishes to donate blood, he or she will be directed as to where to go and who to contact. [10]. ...
Recently, healthcare resources and services can be effectively provided to patients anytime and anywhere using healthcare management systems. Healthcare systems are developed through many mechanisms and applications that improve the management of healthcare-related resources by aggregating data with mechanisms such as the Internet of Things (IoT) that include sensors and mobile phones, as well as using unified databases for such resources so that they are arranged and managed in light of what is available and what is required and determine the required delivery to the requesting party as soon as possible. Healthcare and services are indicating many things related to health such as kidney donors, surgeries, advice from doctors, etc. Here in our study, we will use the blood banks as the sample of the services that the management system can provide. Today, the application of modern technologies such as cloud programming and real-time algorithms has helped solve many problems associated with traditional systems. Real-time algorithms are concerned with producing logically accurate results and answers in a timely manner without human intervention. Telehealth is an important purpose of the healthcare system where device interoperability and data normalization are challenging task that requires research attention. Several solutions have been proposed in the literature based on manual interpretation through explicit programming. However, programmatic implementation of the interpretation of data sender and receiver in a healthcare system for data transmission is counterproductive as modification is required for each new device added to the system. In this paper, some research works on managing the healthcare system and facilitating their work using modern technology have been studied and analyzed.
... The critical technical parameter for blood mixers is the accuracy of mass registration. If the weighing is incorrect, the blood bag may not be full or full [3]. The consequences of this malfunction can be incorrect freezing, storage and thawing of blood bags, and therefore damage to a biological object [1,6,7]. ...
... In the application of this system it will be possible to have a control in real time of all the goods of the institution, as well as it will be possible to record its goods, the suppliers, the purchases made, in addition it will have the option to move the good according to the stock, to be able to visualize if it is in active state or of leave. Finally, there will also be indicators that will allow to appreciate the amount of purchases made per month and the amount of goods registered per month, as an added feature there will be an option to print reports of purchases, suppliers and goods registered [8]. ...
Management of blood inventories includes all procedures involved in ordering, storing, handling, and distributing blood products. To guarantee proper use of this priceless resource: Blood; effective inventory management is required. The overall objective of this study is to explore the optimization approaches in inventory management of blood supply chains. By summarizing the optimization techniques used, a framework was created, literature review was analyzed, variables and complexities affecting blood inventory performance were found and examined. As advice for upcoming researchers in this field, this paper includes the current state of knowledge, potential research areas, and gaps that are present in this field. Concerns were raised about managing the blood supply during the coronavirus disease 2019 (COVID-19) pandemic. Due to travel restrictions and concern over contracting the virus while visiting blood banks, blood donations during the pandemic significantly decreased. As a result, the purpose of this review is to analyze the research literature already in existence that deals with the modelling of blood collection, provide a detailed classification of the selected articles, and thus identify any areas that may benefit for further research. KEYWORDS- Inventory management, Blood, Supply chain, Blood banks, Platelets
Blood Transfusion Unit is an institution under the supervision of the government that tasked to provide blood components for the community. Furthermore, this agency serves the community for the provision of information on the availability of blood, blood filtration of infectious diseases and blood storage. Problem of this case showed that there was out of stock of blood components that was caused by the blood components have low viability when long-time stored. Purpose of this study is to forecast demand of blood components for decision making process in supporting the activities of Blood Transfusion Unit. There were four methods of foresting involving moving average, weighted moving average, exponential smoothing, exponential smoothing with trend which these methods were analyzed using POM-QM software. Finding showed that there were two patterns of forecasting results of blood components that categorized into time series of stationary and trend. Implication in this study is able to select the appropriate forecasting method for anticipate the uncertainty demand of blood components. Further research is recommended to consider the safety stock for calculating the minimum inventory at Blood Transfusion Unit. This calculation can be continued to determine the ordering using method ReOrder Point (ROP) to fulfil the demand.
The article presents a proposal for a combined application of fuzzy logic and genetic algorithms to control the procurement process in the enterprise. The approach presented in this paper draws particular attention to the impact of external random factors in the form of demand and lead time uncertainty. The model uses time-variable membership function parameters in a dynamic fashion to describe the modelled output fuzzy (sets) values. An additional element is the use of genetic algorithms for optimisation of fuzzy rule base in the proposed method. The approach presented in this paper was verified according to four criteria based on a computer simulation performed on the basis of the actual data from an enterprise.
Inventory is one of the most important assets in the companies, especially in manufacturing company. In the event of problems related to inventory, the company's business processes will be disrupted. One example of the inventory problems is stock out case. Stock out is a condition in which the company is unable to meet customer demand due to inventory shortage in the warehouse. This problem is common in manufacturing companies which adapted make to stock system, for example pharmaceutical companies. PT. Combiphar is one of the pharmaceutical company in Indonesia that adapting the system. With this system, the company is required to perform demand forecasting to avoid shortages or excess inventory in the future. Another thing that must be determined by the company is the reordering time and safety stock levels in anticipation of stock out in the warehouse due to the long lead time. Inventory management is an important aspect in supply chain management which can adjust level of inventory in the warehouse taking into costs such as: ordering cost, carrying cost and item cost. Inventory is needed to anticipate the stock out, avoid the price and lead time uncertainty. Economic Order Quantity (EOQ) is one of the inventory models that calculate the maximum inventory level to be ordered at the lowest cost. This study uses quantitative method, includes: forecasting calculation with double exponential smoothing models to determine the level of demand in 2013 and 2014, determining the reorder point and safety stock level to know when company have to order and how much inventory is anticipated, also EOQ calculations to know how many orders of raw materials at the lowest cost.
Plat KW hadn't using optimal inventory level planning yet and hadn't have an information system that well computerized. The research objective is to be able to design an information system related inventory control of spare parts maintenance. The study focused on five types of spare parts with the highest application rate during February 2013- March 2015 and included in the classification of fast on FSN analysis Grinding stones Cut 4". Cable Tie 15". Welding RB 26-32MM. Ring Plat ½" and Ring Plate 5/8 ". Inventory calculation used Economic Order Quantity (EOQ). Safety Stock (SS) and Reorder Point (ROP) methods. System analysis conducted using the framework PIECES with the proposed inventory control system. the performance of the plant KW relating to the supply of spare parts maintenance needs can be more efficient as well as problems at the company can be answered and can perform inventory cost savings amounting Rp.267.066. A computerized information system of inventory control spare parts maintenance provides a menu that can be accessed by each departments as the user needed.
Inventory management is a challenging problem area in supply chain management. Companies need to have inventories in warehouses in order to fulfil customer demand, meanwhile these inventories have holding costs and this is frozen fund that can be lost. Therefore, the task of inventory management is to find the quantity of inventories that will fulfil the demand, avoiding overstocks. This paper presents a case study for the assembling company on inventory management. It is proposed to use inventory management in order to decrease stock levels and to apply an agent system for automation of inventory management processes.
This paper investigates the application of inventory model in determining stock control in an organization. A multi-product Economic Order Quantity model was used to determine the optimal order times. The result of the analysis revealed that J.O. Adimoha's investment does not have a proper inventory management which leads them to sometimes either over stock or under stock. The combination of orders at different time interval was carefully and constantly updated and verified because reorder points and EOQ may change. In conclusion, it was discovered that reorder points often coincides close together.
A small group of people belonging to a certain religion, called Jehovah's witness do not accept blood transfusion or blood products, based on biblical readings. When such group of people are in need of health care, their faith and belief is an obstacle for their proper treatment, and poses legal, ethical and medical challenges for attending health care provider. Due to the rapid growth in the membership of this group worldwide, physicians attending hospitals should be prepared to manage such patients. Appropriate management of such patients entails understanding of ethical and legal issues involved, providing meticulous medical management, use of prohaemostatic agents, essential interventions and techniques to reduce blood loss and hence, reduce the risk of subsequent need for blood transfusion. An extensive literature search was performed using search engines such as Google scholar, PubMed, MEDLINE, science journals and textbooks using keywords like 'Jehovah's witness', 'blood haemodilution', 'blood salvage' and 'blood substitutes'.
p>Software vendors and entrepreneurs, who try to introduce an innovative software product to a specific organization or an entire market, enter a long and tedious process. During this process, the market and various organizations evaluate the product from different perspectives, such as software robustness, manufacturer reliability, and corporate need for the product. The vendors and entrepreneurs engaged in this process encounter decision crossroads for which no relevant guidance exists in the literature.
The research closely monitored the processes associated with the introduction and assimilation of an innovative off-the-shelf (OTS) software product into five different organizations in different vertical market segments. Observations were carried out to assess organizational and marketing processes and to document and analyze what the software product undergoes before it is accepted for acquisition or full implementation within the organization.
The research outcomes offer a unified, collaborative multi-tier System Development Life Cycle (SDLC) framework and methodology for packaged OTS software products that greatly improves communication and collaboration among the stakeholders. Each tier addresses a different force or stakeholder involved in the software market: vendor, customer, consultants and integrators. All stakeholders refer to the same time-line thus; tasks of various stakeholders are streamlined. Adherence to the unified time-line brings about an increased amount of stakeholder interaction, communication and collaboration.
Newly found tasks that improve communication and collaboration among stakeholders include (1) offering of the OTS software product together with personnel as a bundle, (2) an improvisation-intensive iterative task of weaving potential customers’ requirements into the prototype, and (3) a third sale milestone, representing the successful diffusion of the product. The significance of this interdisciplinary research stems from its unique position at a crossroad between software engineering, marketing, and business administration, which has not yet been sufficiently explored or cultivated.</p
This paper derives the probabilistic continuous review inventory model that has the two types of shortage when the order cost is a function of the order quantity. The objective is to minimize the expected annual total cost under a constraint on the expected holding cost when the lead time demand follows Normal distribution by using the Lagrangian method. Some published special cases are deduced and a numerical application with illustrative graphs is added.
In this paper, we address an important practical situation, namely where the usual replenishment lead time (when the supplier's production facility is operating) is a random variable and the supplier shuts down for an interval of known duration (for maintenance, vacation, etc.) each year. The demand rate is constant and any demand when out of stock is assumed to be lost. Under such circumstances we develop a heuristic procedure to decide when to initiate replenishment as well as the associated order-up-to-levels. Through the use of simulation (which accurately estimates the average costs per unit time), the heuristic is shown to perform excellently in a selection of small size problems when one can find the optimal solution. For a large number of problems of more realistic size, the use of simulation reveals that the heuristic achieves substantial cost savings when compared with a simpler, baseline approach. The heuristic itself does not require the use of simulation. The sensitivity of total expected costs to various parameters (such as the length of the shutdown interval and characteristics of the lead time distribution) is discussed.
Stock Out Analysis: An Empirical Study on Forecasting, Re-Order Point and Safety Stock Level
- C Mekel
- P T Bank
- C Asia
- L Lahindah
C. Mekel, P. T. Bank, C. Asia, and L. Lahindah, "Stock Out
Analysisௗ: An Empirical Study on Forecasting, Re-Order
Point and Safety Stock Level," Rev. Integr. Bus. Econ. Res,
vol. 3, no. 1, pp. 52-64, 2014.